File Fragment Type (FFT) - 75 Dataset

Citation Author(s):
Govind
Mittal
New York University
Pawel
Korus
New York University
Nasir
Memon
New York University
Submitted by:
Pawel Korus
Last updated:
Tue, 05/17/2022 - 22:21
DOI:
10.21227/kfxw-8084
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License:
Creative Commons Attribution
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Abstract 

This FFT-75 dataset contains randomly sampled, potentially overlapping file fragments from 75 popular file types (see details below). It is the most diverse and balanced dataset available to the best of our knowledge. The dataset is labeled with class IDs and is ready for training supervised machine learning models. We distinguish 6 different scenarios with different granularity and provide variants with 512 and 4096-byte blocks. In each case, we sampled a balanced dataset and split the data as follows: 80% for training, 10% for testing and 10% for validation.

Instructions: 

See documentation (readme.md).

Comments

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Submitted by Wei Lim on Tue, 08/31/2021 - 23:28

thanks!

Submitted by Li Hui on Wed, 01/12/2022 - 01:54